A Mathematical Tool for Inference in Logistic Regression with Small-Sized Data Sets: A Practical Application on ISW-Ridge Relationships

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="center" colspan="5">Deviance and Pearson goodness-of-fit
 statistics</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">Criterion</td><td align="center">DF</td><td align="center">Value</td><td align="center">Value/DF</td><td align="center">Pr  &gt;  Chi-sq</td></tr><tr><td align="center" colspan="5"><hr/></td></tr><tr><td align="left">Deviance</td><td align="center">50</td><td align="center">36.3380</td><td align="center">0.7268</td><td align="center"> 0.9260</td></tr><tr><td align="left">Pearson </td><td align="center">50</td><td align="center">60.7842</td><td align="center"> 1.2157 </td><td align="center">0.1412</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Deviance and Pearson goodness-of-fit statistics.

Mathematical Problems in Engineering

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Table 1

Table 1: A Mathematical Tool for Inference in Logistic Regression with Small-Sized Data Sets: A Practical Application on ISW-Ridge Relationships 